KPI discovery
Suggest measurable KPIs from available fields, then let the user approve what belongs in the analysis.
ArexAiOpen ArexAi AnalystArexAi Analyst solution
Compare Actual and Target values, inspect absolute variance and test a percentage scenario separately from observed data.
Open ArexAi AnalystSynthetic example 路 no customer data
CustomerId,Revenue C001,120 C002,180 C001,100
CustomerId,Segment C001,Retail C002,Wholesale
Operation: match CustomerId, approve the relationship, group Revenue by Segment and calculate Sum.
Source check: sales B2 + B4 = 220; B3 = 180. All 3 records match unique customer keys. The report includes cell evidence and a source fingerprint.
Other reproducible checks: Revenue 400; Cost 240; Actual 400 versus Target 390 gives +10; Stock totals 22. Values are unitless synthetic observations, not business performance claims.
What it does
Suggest measurable KPIs from available fields, then let the user approve what belongs in the analysis.
Numbers are calculated or cross-checked locally when possible before AI explains the result.
Turn verified KPIs, changes, risks and opportunities into a concise decision-ready report.
Results depend on the structure and quality of the uploaded data. Forecasts are estimates, and AI explanations must remain traceable to calculated evidence.